Cost-Sensitive Dynamic User Authentication with Reinforcement Learning

C-CURE addresses a pressing problem with regards to user authentication: lack of flexibility. Current authentication methods are uniform and static. Their power, and thus the involved overhead for the user, is the same for small (in terms of the required security) and large processes or transactions. C-CURE aims to develop a flexible multi-modal approach which adapts the security level and procedure depending on the expected risk and the context of the user.

Research topics:  



Project Info

Start 08/09/2015

End 08/09/2018

Funding Innoviris

Involved Members: Ann Nowé, Dennis Soemers